code: def predict(train_x_df, train_y_df):
      model, x = predict_preamble(train_x_df, train_y_df)
  
      print("Prediction:", model.predict(x)[0][0])
  
file_path: tf-encrypted/examples/application/house-credit-default/main.py
imports: import argparse
  import os
  import time
  import tensorflow
  import tf2onnx
  from tensorflow import keras
  from tensorflow.keras import layers
  from tensorflow.python import errors_impl
  from utils import data_prep
  from utils import read_one_row
label_desc: Use image node_id 6 for calling a global function with example usage: predict(train_x_df, train_y_df) without return types